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Digital Performance Management - 4 Key Metrics to Watch

Klaus Enzenhofer

Today's websites are not just marketing channels, they are critical production factors. If a website doesn't deliver a satisfactory customer experience the entire value delivery chain breaks down, and a company will not generate revenue regardless of product quality or value proposition.

Mastering digital performance is one of the leading challenges of the web economy, and requires a joint effort between IT and the lines of business. It means measuring and managing the end-to-end transaction delivery and translating it into actionable information. This will allow you to deliver an engaging digital experience, thus maximizing revenue and improving brand loyalty.

This gets a lot easier if you simply monitor a handful of key application performance metrics. This blog describes four good ones to get started with:

1. Make sure that your online business is actually generating revenue

Cyber Monday 2014 was Walmart's biggest ever online shopping event, with mobile driving 70% of total traffic. Application performance was a major factor impacting the business results; a recent study indicates the company experienced a 2% conversion increase for every one-second improvement in response time.

It's the responsibility of both the business and engineering teams to define and achieve conversion and revenue goals, and keeping an eye on these two metrics in real time is essential.

The first set of metrics to add to your dashboard are:

■ Revenue targets

■ Conversion Rate

■ A number, or count, of money-making actions

2. Make sure that your infrastructure is available to generate revenue

There is nothing worse than your system being unavailable. This frustrates customers and often drives them to a competitor's website! Kia and Soda Stream USA struggled with this issue during Super Bowl XLVIII. To address this risk, set up an availability check for your IT systems. This is inexpensive, easily implemented and does not require much in the way of significant IT changes.

The metric to add to your dashboard is:

■ Availability from my top locations

3. Be certain that every revenue-generating customer is a happy one

You can track and understand the user's journey based on their actions. This allows you to determine what the user did with your application, how long they worked with it, which features they used and how the overall experience with your company was delivered.

The metric to add to your dashboard is:

■ User Experience Index

4. Are your business critical actions successful, erroneous or slow?

The user experience index is a great metric to provide a general overview, but there are some other revenue-generating transactions like "search", "add to cart", "check out" and "pay" that you should also be plugged into. For financial services companies, key transactions like "log-in" and "transfer funds" can be added.

The metrics to add to your dashboard are:

■ Number of executions of the critical action

■ Failure rate per critical action

■ Response time per critical action

Conclusion

It's the responsibility of both the business and engineering teams to not only define conversion and revenue goals, but also make sure they are reached. In IT you can't impact the product portfolio or how it's marketed, but you can certainly make sure application performance doesn't become a roadblock. You want to eliminate all revenue barriers, and a focus on digital performance can insure that the road to conversion is quick and easy.

Klaus Enzenhofer is a Senior Technology Strategist in the Center of Excellence at Dynatrace.

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Digital Performance Management - 4 Key Metrics to Watch

Klaus Enzenhofer

Today's websites are not just marketing channels, they are critical production factors. If a website doesn't deliver a satisfactory customer experience the entire value delivery chain breaks down, and a company will not generate revenue regardless of product quality or value proposition.

Mastering digital performance is one of the leading challenges of the web economy, and requires a joint effort between IT and the lines of business. It means measuring and managing the end-to-end transaction delivery and translating it into actionable information. This will allow you to deliver an engaging digital experience, thus maximizing revenue and improving brand loyalty.

This gets a lot easier if you simply monitor a handful of key application performance metrics. This blog describes four good ones to get started with:

1. Make sure that your online business is actually generating revenue

Cyber Monday 2014 was Walmart's biggest ever online shopping event, with mobile driving 70% of total traffic. Application performance was a major factor impacting the business results; a recent study indicates the company experienced a 2% conversion increase for every one-second improvement in response time.

It's the responsibility of both the business and engineering teams to define and achieve conversion and revenue goals, and keeping an eye on these two metrics in real time is essential.

The first set of metrics to add to your dashboard are:

■ Revenue targets

■ Conversion Rate

■ A number, or count, of money-making actions

2. Make sure that your infrastructure is available to generate revenue

There is nothing worse than your system being unavailable. This frustrates customers and often drives them to a competitor's website! Kia and Soda Stream USA struggled with this issue during Super Bowl XLVIII. To address this risk, set up an availability check for your IT systems. This is inexpensive, easily implemented and does not require much in the way of significant IT changes.

The metric to add to your dashboard is:

■ Availability from my top locations

3. Be certain that every revenue-generating customer is a happy one

You can track and understand the user's journey based on their actions. This allows you to determine what the user did with your application, how long they worked with it, which features they used and how the overall experience with your company was delivered.

The metric to add to your dashboard is:

■ User Experience Index

4. Are your business critical actions successful, erroneous or slow?

The user experience index is a great metric to provide a general overview, but there are some other revenue-generating transactions like "search", "add to cart", "check out" and "pay" that you should also be plugged into. For financial services companies, key transactions like "log-in" and "transfer funds" can be added.

The metrics to add to your dashboard are:

■ Number of executions of the critical action

■ Failure rate per critical action

■ Response time per critical action

Conclusion

It's the responsibility of both the business and engineering teams to not only define conversion and revenue goals, but also make sure they are reached. In IT you can't impact the product portfolio or how it's marketed, but you can certainly make sure application performance doesn't become a roadblock. You want to eliminate all revenue barriers, and a focus on digital performance can insure that the road to conversion is quick and easy.

Klaus Enzenhofer is a Senior Technology Strategist in the Center of Excellence at Dynatrace.

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Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...